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Specialised Skill Development for GCCs in India

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BioSpectrum India May 2025

India is a key hub for Life Sciences and Healthcare (LSHC) Global Capability Centers (GCCs).

- Sudeep Krishna, Co-Founder & President, Healthark Insights

Specialised Skill Development for GCCs in India

With over 280,000 professionals, 40 per cent are focused on clinical research and using AI for healthcare advancements. The AI talent pool in India is projected to grow to 633,000 by 2025, emphasising the need for specialised skills and continuous learning to maintain its reputation as a top destination for LSHC GCCs.

India has solidified its position as a pivotal hub for Global Capability Centers (GCCs), especially in the Life Sciences and Healthcare (LSHC) sectors. These centres are instrumental in driving advancements in research and development, digital transformation, regulatory compliance, pharmacovigilance, clinical trial analytics, and supply chain management for global pharmaceutical and healthcare enterprises. To sustain this momentum, developing a workforce with specialised skills is essential. Currently, LSHC GCCs in India employ over 280,000 professionals. Of this talent pool, 43 per cent are engaged in core healthcare and R&D, 16 per cent specialise in IT, and 41 per cent focus on business process management.

This article delves into the initiatives undertaken for skill development, the contributions of industry leaders, emerging competencies, and the role of GCC consortiums in fortifying the talent pipeline for LSHC GCCs in India.

Escalating Demand for Specialised Skills in LSHC GCCs

As India cements its status as a preferred destination for LSHC GCCs, there is an escalating demand for professionals proficient in Regulatory Affairs & Compliance for navigating guidelines from authorities such as the US Food and Drug Administration (FDA), European Medicines Agency (EMA), and Central Drugs Standard Control Organisation (CDSCO) of India for drug approvals; Clinical Research & Data Management for executing clinical trials, analysing real-world evidence, and managing extensive healthcare datasets.

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